During November 2025, Ming Lin developed the Server Metrics Caching feature for the etcd-io/etcd repository, focusing on backend performance optimization. He introduced the getServerMetrics function and a global metricsServerCached state within the v3rpc layer, using Go and integrating with gRPC and Prometheus. This approach reduced redundant metric registrations and lowered overhead, resulting in improved throughput for metrics collection under load. By aligning with established Go tooling conventions and ensuring proper commit sign-off, Ming Lin delivered a targeted solution that enhanced the scalability and responsiveness of the cluster’s telemetry subsystem, addressing a specific performance bottleneck in server metrics handling.